Investors evaluating leveraged exposure often compare products that target distinct segments of the market. GUSH and TSLL both employ 2x daily leverage but pursue fundamentally different strategies: one focuses on the energy exploration and production industry, while the other concentrates on a single high-growth technology and automotive name. These ETFs do not compete directly but offer alternative leveraged approaches for investors seeking amplified returns within commodity-linked or innovation-driven themes amid evolving macroeconomic conditions.
GUSH is a leveraged exchange-traded fund that seeks daily investment results, before fees and expenses, of 200% of the S&P Oil & Gas Exploration & Production Select Industry Index. The fund typically holds a portfolio of approximately 52 stocks, with top holdings including companies such as Texas Pacific Land Corporation and PBF Energy Inc. Sector allocations emphasize oil and gas exploration and production (around 67%), followed by refining and marketing (approximately 26%) and integrated oil and gas (about 7%). The expense ratio is 0.94%. As a passive, rules-based leveraged product, it resets daily and employs derivatives to achieve its target multiple. This structure provides broad exposure across multiple energy producers rather than concentration in any single issuer.
TSLL is a leveraged exchange-traded fund that seeks daily investment results, before fees and expenses, of 200% of the daily performance of Tesla Inc. (TSLA). The strategy provides direct 2x exposure to the performance of this single underlying security. The expense ratio is 0.83%. As a single-stock leveraged product, it resets exposure daily and utilizes swaps and other derivatives to meet its objective. This approach results in high concentration risk, with returns driven entirely by movements in one company rather than a diversified basket. The fund is designed for investors seeking amplified daily results tied specifically to Tesla's business operations in electric vehicles, energy storage, and autonomous technology.
The energy exploration and production sector faces ongoing influences from global oil supply dynamics, geopolitical developments, and the pace of the energy transition. Meanwhile, Tesla Inc. (TSLA) operates at the intersection of electric vehicles, renewable energy, and artificial intelligence, subject to competitive pressures, regulatory changes in automotive and clean energy policies, and broader technology sector sentiment. Capital flows into both areas can shift with commodity price trends, interest rate expectations, and investor appetite for growth versus value themes. Leveraged ETFs in these spaces amplify exposure to these macro and sector-specific drivers while introducing additional volatility from the daily reset mechanism.
In recent market cycles, GUSH has reflected amplified movements tied to oil price fluctuations and energy sector rotation, with performance influenced by production levels and refining margins across its holdings. TSLL has exhibited volatility linked to company-specific events, earnings reports, and broader technology or growth stock rotations. Relative positioning highlights GUSH's greater diversification within energy, which may moderate some idiosyncratic risks compared to TSLL's single-stock concentration. Both products demonstrate higher volatility than their unleveraged counterparts due to the 2x daily target, making them sensitive to short-term swings in their respective underlying benchmarks during periods of sector momentum or macroeconomic shifts.
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Based on structural characteristics, GUSH presents a modestly more diversified exposure profile across multiple energy holdings, which may support greater consistency in sector momentum environments relative to TSLL's single-security concentration. Cost efficiency is comparable, with TSLL holding a slight edge on expense ratio. In the current thematic landscape, the AI would likely assign a higher probabilistic preference to GUSH for investors seeking leveraged energy sector participation, given its broader holdings base and reduced single-issuer risk, while noting both remain high-volatility instruments requiring careful position sizing.
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| GUSH | TSLL | GUSH / TSLL | |
| Gain YTD | 99.811 | -54.931 | -182% |
| Net Assets | 266M | 3.44B | 8% |
| Total Expense Ratio | 0.94 | 0.83 | 113% |
| Turnover | 60.00 | 101.00 | 59% |
| Yield | 1.19 | 5.14 | 23% |
| Fund Existence | 11 years | 4 years | - |
| GUSH | TSLL | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 86% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Advances ODDS (%) | 2 days ago 90% | 6 days ago 90% |
| Declines ODDS (%) | 15 days ago 90% | 2 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| 1 Day | |||
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| UXRP | 8.81 | 0.03 | +0.30% |
| ProShares Ultra XRP ETF | |||
| CTA | 27.93 | 0.05 | +0.18% |
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| HISF | 43.94 | 0.03 | +0.08% |
| First Trust High Income Strat Foc ETF | |||
| USMD | 31.49 | N/A | N/A |
| Corevalues America First Technology ETF | |||
| IQSM | 40.24 | -0.55 | -1.35% |
| NYLI Candriam U.S. Mid Cap Equity ETF | |||
A.I.dvisor indicates that over the last year, GUSH has been closely correlated with OVV. These tickers have moved in lockstep 88% of the time. This A.I.-generated data suggests there is a high statistical probability that if GUSH jumps, then OVV could also see price increases.
| Ticker / NAME | Correlation To GUSH | 1D Price Change % | ||
|---|---|---|---|---|
| GUSH | 100% | +2.09% | ||
| OVV - GUSH | 88% Closely correlated | +1.83% | ||
| DVN - GUSH | 87% Closely correlated | +0.55% | ||
| EOG - GUSH | 86% Closely correlated | +1.74% | ||
| MGY - GUSH | 86% Closely correlated | +0.41% | ||
| PR - GUSH | 85% Closely correlated | +0.77% | ||
More | ||||
A.I.dvisor indicates that over the last year, TSLL has been closely correlated with TSLA. These tickers have moved in lockstep 100% of the time. This A.I.-generated data suggests there is a high statistical probability that if TSLL jumps, then TSLA could also see price increases.
| Ticker / NAME | Correlation To TSLL | 1D Price Change % | ||
|---|---|---|---|---|
| TSLL | 100% | -1.51% | ||
| TSLA - TSLL | 100% Closely correlated | -0.72% |